{"id":"https://openalex.org/W166599602","doi":"https://doi.org/10.14569/ijacsa.2010.010516","title":"Decision Tree Classification of Remotely Sensed Satellite Data using Spectral Separability Matrix","display_name":"Decision Tree Classification of Remotely Sensed Satellite Data using Spectral Separability Matrix","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W166599602","doi":"https://doi.org/10.14569/ijacsa.2010.010516","mag":"166599602"},"language":"en","primary_location":{"id":"doi:10.14569/ijacsa.2010.010516","doi":"https://doi.org/10.14569/ijacsa.2010.010516","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2010.010516","pdf_url":"http://thesai.org/Downloads/Volume1No5/Paper%2016-Decision%20Tree%20Classification%20Of%20Remotely%20Sensed%20Satellite%20Data%20Using%20Spectral%20Separability%20Matrixpaper.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Computer Science and Applications","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://thesai.org/Downloads/Volume1No5/Paper%2016-Decision%20Tree%20Classification%20Of%20Remotely%20Sensed%20Satellite%20Data%20Using%20Spectral%20Separability%20Matrixpaper.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112763757","display_name":"Mrs. Elakia K","orcid":"https://orcid.org/0000-0002-0243-0456","observed_orcids":["https://orcid.org/0000-0002-0243-0456"]},"institutions":[{"id":"https://openalex.org/I81433678","display_name":"Sikkim Manipal University","ror":"https://ror.org/010gckf65","country_code":"IN","type":"education","lineage":["https://openalex.org/I81433678"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M K","raw_affiliation_strings":["Department of Computer Science and Engineering Sikkim Manipal Institute of Technology, Sikkim, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Sikkim Manipal Institute of Technology, Sikkim, INDIA","institution_ids":["https://openalex.org/I81433678"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043375601","display_name":"Ratika Pradhan","orcid":"https://orcid.org/0000-0002-5008-1430","observed_orcids":["https://orcid.org/0000-0002-5008-1430"]},"institutions":[{"id":"https://openalex.org/I81433678","display_name":"Sikkim Manipal University","ror":"https://ror.org/010gckf65","country_code":"IN","type":"education","lineage":["https://openalex.org/I81433678"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Ratika Pradhan","raw_affiliation_strings":["Department of Computer Science and Engineering Sikkim Manipal Institute of Technology, Sikkim, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Sikkim Manipal Institute of Technology, Sikkim, INDIA","institution_ids":["https://openalex.org/I81433678"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040866988","display_name":"Sucheta Sushan Ghose","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81433678","display_name":"Sikkim Manipal University","ror":"https://ror.org/010gckf65","country_code":"IN","type":"education","lineage":["https://openalex.org/I81433678"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sucheta Sushan","raw_affiliation_strings":["Department of Computer Science and Engineering Sikkim Manipal Institute of Technology, Sikkim, INDIA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering Sikkim Manipal Institute of Technology, Sikkim, INDIA","institution_ids":["https://openalex.org/I81433678"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I81433678"],"apc_list":null,"apc_paid":null,"fwci":2.3141,"has_fulltext":true,"cited_by_count":40,"citation_normalized_percentile":{"value":0.87908684,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"1","issue":"5","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10689","display_name":"Remote-Sensing Image Classification","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13890","display_name":"Remote Sensing and Land Use","score":0.0003000000142492354,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.0,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decision-tree-classifier","display_name":"decision tree classification","score":0.9959999918937683},{"id":"https://openalex.org/keywords/satellite-image-classification","display_name":"satellite image classification","score":0.7129999995231628},{"id":"https://openalex.org/keywords/spectral-distance","display_name":"spectral distance","score":0.8330000042915344},{"id":"https://openalex.org/keywords/recursive-partitioning","display_name":"recursive partitioning","score":0.7900000214576721},{"id":"https://openalex.org/keywords/spectral-band-selection","display_name":"band selection","score":0.4959999918937683},{"id":"https://openalex.org/keywords/threshold-selection","display_name":"threshold selection","score":0.8209999799728394}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7122501730918884},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6713331341743469},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5778334140777588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5745019912719727},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5664565563201904},{"id":"https://openalex.org/C114700698","wikidata":"https://www.wikidata.org/wiki/Q2882278","display_name":"Spectral bands","level":2,"score":0.5371601581573486},{"id":"https://openalex.org/C163864269","wikidata":"https://www.wikidata.org/wiki/Q1107106","display_name":"Cohen's kappa","level":2,"score":0.5126765966415405},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47782257199287415},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.46806541085243225},{"id":"https://openalex.org/C49781872","wikidata":"https://www.wikidata.org/wiki/Q1045555","display_name":"Maximum likelihood","level":2,"score":0.46594321727752686},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.4640558958053589},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4207088351249695},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.41543048620224},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.37760835886001587},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3343404531478882},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2943696677684784},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.27916419506073},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2652200162410736},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14648038148880005},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.14569/ijacsa.2010.010516","doi":"https://doi.org/10.14569/ijacsa.2010.010516","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2010.010516","pdf_url":"http://thesai.org/Downloads/Volume1No5/Paper%2016-Decision%20Tree%20Classification%20Of%20Remotely%20Sensed%20Satellite%20Data%20Using%20Spectral%20Separability%20Matrixpaper.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Computer Science and Applications","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.205.8888","doi":null,"is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.205.8888","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://thesai.org/Downloads/Volume1No5/Paper%2016-Decision%20Tree%20Classification%20Of%20Remotely%20Sensed%20Satellite%20Data%20Using%20Spectral%20Separability%20Matrixpaper.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.14569/ijacsa.2010.010516","doi":"https://doi.org/10.14569/ijacsa.2010.010516","is_oa":true,"landing_page_url":"https://doi.org/10.14569/ijacsa.2010.010516","pdf_url":"http://thesai.org/Downloads/Volume1No5/Paper%2016-Decision%20Tree%20Classification%20Of%20Remotely%20Sensed%20Satellite%20Data%20Using%20Spectral%20Separability%20Matrixpaper.pdf","source":{"id":"https://openalex.org/S23629721","display_name":"International Journal of Advanced Computer Science and Applications","issn_l":"2156-5570","issn":["2156-5570","2158-107X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","norway-1","poland-20","russia-white-list-3","vabb-shw"],"host_organization":"https://openalex.org/P4310311819","host_organization_name":"Science and Information Organization","host_organization_lineage":["https://openalex.org/P4310311819"],"host_organization_lineage_names":["Science and Information Organization"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Advanced Computer Science and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W166599602.pdf","grobid_xml":"https://content.openalex.org/works/W166599602.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W119571919","https://openalex.org/W767145008","https://openalex.org/W1513618424","https://openalex.org/W1594031697","https://openalex.org/W1642657809","https://openalex.org/W1655990431","https://openalex.org/W1958891813","https://openalex.org/W1990351156","https://openalex.org/W2017900294","https://openalex.org/W2035549557","https://openalex.org/W2074584355","https://openalex.org/W2080581973","https://openalex.org/W2082874195","https://openalex.org/W2095795470","https://openalex.org/W2099534828","https://openalex.org/W2106078845","https://openalex.org/W2106820920","https://openalex.org/W2125055259","https://openalex.org/W2125124513","https://openalex.org/W2158497748","https://openalex.org/W2752885492","https://openalex.org/W2888871578","https://openalex.org/W3085162807","https://openalex.org/W4241780153","https://openalex.org/W4247767684"],"related_works":["https://openalex.org/W2937134792","https://openalex.org/W2169955806","https://openalex.org/W152816470","https://openalex.org/W2035549557","https://openalex.org/W2050226927","https://openalex.org/W2349005169","https://openalex.org/W4386220766","https://openalex.org/W2353398061","https://openalex.org/W2358229428","https://openalex.org/W2274431401"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"an":[3,102],"attempt":[4],"has":[5],"been":[6],"made":[7],"to":[8,96,127],"develop":[9],"a":[10,52,63,79,86,89],"decision":[11,67],"tree":[12,68],"classification":[13],"algorithm":[14],"for":[15,62],"remotely":[16],"sensed":[17],"satellite":[18],"data":[19],"using":[20,115,130,137],"the":[21,25,44,47,75,83,98,111,131,138],"separability":[22,84],"matrix":[23],"of":[24,28,51,58],"spectral":[26,35,49,56,76],"distributions":[27],"probable":[29],"classes":[30,40],"in":[31,78,94,101],"respective":[32],"bands.":[33],"The":[34,66,105,122],"distance":[36],"between":[37,46],"any":[38],"two":[39],"is":[41,69,108],"calculated":[42],"from":[43],"difference":[45],"minimum":[48],"value":[50,57],"class":[53,61],"and":[54,88,135,146],"maximum":[55],"its":[59],"preceding":[60],"particular":[64],"band.":[65],"then":[70],"constructed":[71],"by":[72,114],"recursively":[73],"partitioning":[74],"distribution":[77],"Top-Down":[80],"manner.":[81,104],"Using":[82],"matrix,":[85],"threshold":[87],"band":[90],"will":[91],"be":[92,128],"chosen":[93],"order":[95],"partition":[97],"training":[99],"set":[100],"optimal":[103],"classified":[106,113],"image":[107,112],"compared":[109],"with":[110,142],"classical":[116],"method":[117,134,141],"Maximum":[118,139],"Likelihood":[119,140],"Classifier":[120],"(MLC).":[121],"overall":[123],"accuracy":[124],"was":[125],"found":[126],"98%":[129],"Decision":[132],"Tree":[133],"95%":[136],"kappa":[143],"values":[144],"97%":[145],"94":[147],"%":[148],"respectively.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":6},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}
